Consumer-facing technology fraud: Economics, attack methods and potential solutions
Name:
Publisher version
View Source
Access full-text PDFOpen Access
View Source
Check access options
Check access options
Name:
Consumer_Facing_Technology_Fra ...
Embargo:
2021-05-11
Size:
3.195Mb
Format:
PDF
Description:
Postprint
Abstract
The emerging use of modern technologies has not only benefited society but also attracted fraudsters and criminals to misuse the technology for financial benefits. Fraud over the Internet has increased dramatically, resulting in an annual loss of billions of dollars to customers and service providers worldwide. Much of such fraud directly impacts individuals, both in the case of browser-based and mobile-based Internet services, as well as when using traditional telephony services, either through landline phones or mobiles. It is important that users of the technology should be both informed of fraud, as well as protected from frauds through fraud detection and prevention systems. In this paper, we present the anatomy of frauds for different consumer-facing technologies from three broad perspectives - we discuss Internet, mobile and traditional telecommunication, from the perspectives of losses through frauds over the technology, fraud attack mechanisms and systems used for detecting and preventing frauds. The paper also provides recommendations for securing emerging technologies from fraud and attacks.Citation
Alia, M.A., Azadb, M.A., Centenoa, M.P., Haoc, F. and van Moorsela, A., (2019) 'Consumer-Facing Technology Fraud: Economics, Attack Methods and Potential Solutions'. Future Generation Computer Systems, 100, pp. 408-427. DOI: 10.1016/j.future.2019.03.041.Publisher
ElsevierJournal
Future Generation Computer SystemsDOI
10.1016/j.future.2019.03.041Additional Links
https://www.sciencedirect.com/journal/future-generation-computer-systemshttps://www.sciencedirect.com/science/article/pii/S0167739X18316984
Type
ArticleLanguage
enISSN
0167739Xae974a485f413a2113503eed53cd6c53
10.1016/j.future.2019.03.041